Ying Yan

1.1k citations
22 papers · 862 indexed · 1 hit paper · h-index 8
Topics
Clinical Laboratory Practices and Quality Control (8 papers)Renal function and acid-base balance (3 papers)Pesticide Residue Analysis and Safety (3 papers)
Partner nations
ChinaUnited States

In The Last Decade

Ying Yan

21 papers receiving 841 citations

Hit Papers

Absence of cancer–associated changes in human fibroblasts...19992026200820171999200400600

Peers

Ying Yan
Comparison fields: 5 of 105
  • Physiology 486
  • Molecular Biology 396
  • Surgery 115
  • Oncology 115
  • Biotechnology 96
Replace Danilo Ranieri with:
Danilo Ranieri Italy
Rie Katayama Japan
Pavol Szabó Czechia
Younghoon Jang South Korea
Gina M. Coudriet United States
Delfina Costa Italy
Shichun Lu China
И. В. Кириллова Russia
Daijiro Hatakeyama Japan
Zhiwen Chen China
Ying Yan relative to Danilo Ranieri Italy Danilo Ranieri's profile →
Citations per field
00.5×5.6×
Danilo Ranieri · 1×
Citations per year

Countries citing papers authored by Ying Yan

Since Specialization
Citations

This map shows the geographic impact of Ying Yan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ying Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Yan more than expected).

Fields of papers citing papers by Ying Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ying Yan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ying Yan. The network helps show where Ying Yan may publish in the future.

Co-authorship network of co-authors of Ying Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Ying Yan. A scholar is included among the top collaborators of Ying Yan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ying Yan. Ying Yan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 4
3 1
4 5
5 3
6 4
7 16
8 2
9 36
10 7
11 60
12 4
13 6
14 6
15 10
16 11
17 0
18
Absence of cancer–associated changes in human fibroblasts immortalized with telomerasebreakdown →
641
19 26
20 7

About Ying Yan

Ying Yan is a scholar working on Statistics, Probability and Uncertainty, Nephrology and Clinical Biochemistry, having authored 22 papers that have together received 862 indexed citations. Recurring topics across this work include Clinical Laboratory Practices and Quality Control (8 papers), Renal function and acid-base balance (3 papers) and Pesticide Residue Analysis and Safety (3 papers). The work is most often cited by research in Aging (71 citations), Physiology (486 citations) and Biotechnology (96 citations). Ying Yan has collaborated with scholars based in China and United States. Frequent co-authors include Jerry W. Shay, Woodring E. Wright, Michel M. Ouellette, Kiran Kaur, Shawn E. Holt, Carmela P. Morales, Kathleen Wilson, Michael A. White, Qian Yang and You Lang Zhou. Their work appears in journals such as Nature Genetics, Molecular Biology of the Cell and Acta Biomaterialia.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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